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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 4575
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    Explanations

    names of sports teams and related terms

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mith
    -0.76
    affer
    -0.76
    ystem
    -0.72
    geoning
    -0.71
    udo
    -0.68
    cher
    -0.67
    rd
    -0.67
    gling
    -0.64
    phrine
    -0.63
    istics
    -0.63
    POSITIVE LOGITS
     Pacers
    1.37
    apolis
    1.10
     Colts
    0.96
    urst
    0.94
     Eleven
    0.91
    Indiana
    0.86
     Jones
    0.82
     Yates
    0.76
     Indiana
    0.75
    Ohio
    0.74
    Activations Density 0.071%

    No Known Activations